To solve real-world data analysis questions, researchers from different fields must collaborate. Topological data analysis (TDA) combines algebraic topology (mathematics) and algorithmic developments (computer science). Recent developments in the field introduce statistical concepts to TDA.
In Part 2, we will discuss functional summaries of persistence diagrams and consider an application to prostate cancer histology. We will also discuss pros/cons of various topological descriptors (and distances).